Alternatives to Hello-Mr-Crab/pywechat
Explore 3 related skill repositories alongside Hello-Mr-Crab/pywechat.
View Hello-Mr-Crab/pywechatRelated repositories are selected from shared categories, topics and mentions in the same lists. Order follows the export’s relevance signals. These links are independent of sponsorship and do not change the leaderboard.
MemPalace/mempalace
The best-benchmarked open-source AI memory system. And it's free.
- GitHub stars
- 60,443
- Star growth over 7 days
- +0.4%
- Heat
- 6.4
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 1,334 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Claude Code, Codex
langchain-ai/deepagents
The batteries-included agent harness.
- GitHub stars
- 31,046
- Star growth over 7 days
- +0.7%
- Heat
- 7.1
- Before you install
- Local scripts
- Median activation tokens (estimate)
- 790 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Codex
ComposioHQ/composio
Route and complete Composio work across Composio For You and Composio Platform. Use when the user mentions Composio; wants an agent to use apps such as Gmail, Slack, GitHub, Notion, Calendar, or Linear; needs first-time setup, an SDK or MCP integration, CLI operation, migration guidance, current doc
- GitHub stars
- 30,954
- Star growth over 7 days
- +0.3%
- Heat
- 6.4
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 1,475 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Claude Code, Codex
Token cost is the median frontmatter plus SKILL.md estimate per skill. Reference files load on demand and scripts run separately. The estimate is unavailable when skill records or token counts are incomplete. Missing growth or heat history stays unmeasured, never zero.
Automated signals, not a guarantee Methodology